{"id":"W2063776174","doi":"10.1097/ede.0b013e3181d61f53","title":"From Midlife to Early Old Age","year":2010,"lang":"en","type":"article","venue":"Epidemiology","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Agency for Healthcare Research and Quality; British Heart Foundation","keywords":"Health and Retirement Study; Mental health; Gerontology; Retirement age; Cohort; Medicine; Demography; Turnover; Longitudinal study; Psychology; Confidence interval; Cohort study; Psychiatry; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002896451,0.00009942363,0.0003021289,0.00003115491,0.0002294106,0.00001496996,0.0003640623,0.0001992303,0.001432093],"category_scores_gemma":[0.006997091,0.00008860202,0.00009122147,0.000102983,0.0004150522,0.00005878348,0.00007450652,0.0002238821,0.001001303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004842536,"about_ca_system_score_gemma":0.00004517686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07180971,"about_ca_topic_score_gemma":0.02900749,"domain_scores_codex":[0.9979272,0.0007348093,0.0003306767,0.0003672317,0.0001299641,0.0005100629],"domain_scores_gemma":[0.9976528,0.001552959,0.00007228105,0.000361277,0.00003331359,0.000327365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001446734,0.00008030637,0.8512084,0.000002521508,0.00001724774,0.000003602707,0.01176627,0.000002171824,0.0009514229,0.08566934,0.04677857,0.003505666],"study_design_scores_gemma":[0.000128492,0.00005703982,0.5140266,0.000004090925,0.000007496086,8.753084e-8,0.000642858,0.000002707393,0.00003883136,0.1000284,0.3849294,0.0001339409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394636,0.00002417932,0.0001341211,0.0291099,0.002096463,0.0002374121,0.00000942979,0.00007752131,0.02884738],"genre_scores_gemma":[0.9850514,0.00001927221,0.002195791,0.007658859,0.001869889,0.00004030349,0.000008291021,0.00000878213,0.00314743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3381509,"threshold_uncertainty_score":0.9997765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3278138042514314,"score_gpt":0.4855549075443075,"score_spread":0.1577411032928761,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}